MAE {DiceEval} | R Documentation |
The mean of absolute errors between real values and predictions.
MAE(Y, Ypred)
Y |
a real vector with the values of the output |
Ypred |
a real vector with the predicted values at the same inputs |
a real which represents the mean of the absolute errors between the real and the predicted values:
MAE = \frac{1}{n} \sum_{i=1}^{n} | Y \left( x_{i}\right)-\hat{Y} \left( x_{i}\right)|
where x_{i}
denotes the points of the experimental design, Y
the output of the computer code and \hat{Y}
the fitted model.
D. Dupuy
other quality criteia as RMSE
and RMA
.
X <- seq(-1,1,0.1)
Y <- 3*X + rnorm(length(X),0,0.5)
Ypred <- 3*X
MAE(Y,Ypred)